8 Result(s)
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Article
Catch fish optimization algorithm: a new human behavior algorithm for solving clustering problems
This paper is inspired by traditional rural fishing methods and proposes a new metaheuristic optimization algorithm based on human behavior: Catch Fish Optimization Algorithm (CFOA). This algorithm simulates t...
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Article
Modified Aquila Optimizer Feature Selection Approach and Support Vector Machine Classifier for Intrusion Detection System
With the ever-expanding ubiquity of the Internet, wireless networks have permeated every facet of modern life, escalating concerns surrounding network security for users. Consequently, the demand for a robust ...
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Article
Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems
Recently, optimization problems have been revised in many domains, and they need powerful search methods to address them. In this paper, a novel hybrid optimization algorithm is proposed to solve various bench...
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Article
Enhancing the quality of compressed images using rounding intensity followed by novel dividing technique
The most extensive data storage size is significantly increasing, and storing such data, including images to make them obtainable over the network, has become a significant problem. Thus, efficient compression...
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Article
Optimized task scheduling in cloud computing using improved multi-verse optimizer
The multiverse optimizer (MVO) is one of the most trending algorithms used nowadays. The searching space in MVO is restricted by the best solution only, leading to a poor searching domain, therefore, a long se...
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Article
Pulse coupled neural network based on Harris hawks optimization algorithm for image segmentation
Medical image segmentation is a hotspot in the field of image segmentation, and there are many segmentation methods. As a method of image segmentation, pulse coupled neural network (PCNN) has excellent segment...
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Article
An improved thermal exchange optimization based GLCM for multi-level image segmentation
The gray-level co-occurrence matrix (GLCM) can obtain the pixel matrix of the image, and selecting multiple thresholds for the matrix can obtain better segmentation results. However, as the number of threshold...
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Article
Modified thermal exchange optimization based multilevel thresholding for color image segmentation
This paper proposes a multi-threshold image segmentation method based on modified thermal exchange optimization (TEO). Although it is efficient and gives excellent result in the case of bi-level thresholding, ...
